Dynamic spray cooling control model based on the tracking of velocity and superheat for the continuous casting steel

2016 ◽  
Vol 229 ◽  
pp. 651-658 ◽  
Author(s):  
Jian Zhang ◽  
Deng-Fu Chen ◽  
Cheng-Qian Zhang ◽  
Shui-Gen Wang ◽  
Weng-Sing Hwang
2010 ◽  
Vol 42 (1) ◽  
pp. 87-103 ◽  
Author(s):  
Bryan Petrus ◽  
Kai Zheng ◽  
X. Zhou ◽  
Brian G. Thomas ◽  
Joseph Bentsman

2021 ◽  
Vol 18 (2) ◽  
pp. 110-135
Author(s):  
Xiang Yu ◽  
Zhangxiang Shu ◽  
Qiang Li ◽  
Jun Huang

2021 ◽  
Vol 13 (11) ◽  
pp. 5957
Author(s):  
Tomas Mauder ◽  
Michal Brezina

Production of overall CO2 emissions has exhibited a significant reduction in almost every industry in the last decades. The steelmaking industry is still one of the most significant producers of CO2 emissions worldwide. The processes and facilities used at steel plants, such as the blast furnace and the electric arc furnace, generate a large amount of waste heat, which can be recovered and meaningfully used. Another way to reduce CO2 emissions is to reduce the number of low-quality steel products which, due to poor final quality, need to be scrapped. Steel product quality is strongly dependent on the continuous casting process where the molten steel is converted into solid semifinished products such as slabs, blooms, or billets. It was observed that the crack formation can be affected by the water cooling temperature used for spray cooling which varies during the year. Therefore, a proper determination of the cooling water temperature can prevent the occurrence of steel defects. The main idea is based on the utilization of the waste heat inside the steel plant for preheating the cooling water used for spray cooling in the Continuous Casting (CC) process in terms of water temperature stabilization. This approach can improve the quality of steel and contribute to the reduction of greenhouse gas emissions. The results show that, in the case of billet casting, a reduction in the cooling water consumption can be also reached. The presented tools for achieving these goals are based on laboratory experiments and on advanced numerical simulations of the casting process.


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